customer-research

customer-research is a skill for Claude Code from bromso/metapowers. It costs 71 tokens per session (746 once invoked), scanned A, original, MIT.

A research process for understanding the people who may buy a product. It creates buyer profiles, records their goals and problems, and maps how they decide whether to buy.

In plain words
What is it for?
Use it to define target audiences, discover buying motivations, and guide product messaging. It is for marketing research, not broad investigation of an unrelated topic.
Why use it?
Marketing is harder when a team is guessing about its audience's needs, objections, or language. This replaces those guesses with research from sources such as surveys, forums, and reports.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the marketing plugin — 29 skills shipped together

Good fit Use it to define target audiences, discover buying motivations, and guide product messaging. It is for marketing research, not broad investigation of an unrelated topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bromso/metapowers/customer-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bromso/metapowers --skill customer-research
Clone the repo
git clone --depth 1 https://github.com/bromso/metapowers

Made for: Claude Code.

Or install marketing, the plugin that ships this one along with the rest of its 29 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for customer-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/bromso/metapowers/customer-research/github.svg)](https://agentmods.dev/skills/bromso/metapowers/customer-research)
Your own site
<a href="https://agentmods.dev/skills/bromso/metapowers/customer-research"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/customer-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for customer-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/bromso/metapowers/customer-research"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/customer-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 746 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.00746
Opus 5.5 $0.00028 $0.00298
Sonnet 5.5 $0.00014 $0.00149
Haiku 4.5 $0.00007 $0.00075

Measured 3d ago against content hash cdad7f4e2ef7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

customer-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/marketing/skills/customer-research/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Customer Research

Research the target audience for "$ARGUMENTS". Build detailed personas, map jobs-to-be-done, identify pain points, and understand the buyer journey.

Arguments. $ARGUMENTS may contain the project name and optional flags. Take the first token as <project> and treat --skip-checks as a flag; never include flags in file paths. All paths below use <project>. If --skip-checks is present, skip the prerequisite check and, before writing any artifact, append one line to .metapowers/marketing/<project>/skip-log.md: - <ISO timestamp> — <skill name> skipped prerequisite check for <artifact file> — reason: <reason or "none given">.

Prerequisites

None — this is typically the first Strategy skill to run.

Process

  1. Web research to understand the target audience:

    • Use WebSearch to find audience research, surveys, forum discussions, and industry reports about ""
    • Use WebFetch to read the most relevant sources in depth (aim for 5-8 quality sources)
    • Look for: demographic data, behavioral patterns, purchase motivations, common objections
  2. Build personas:

    • Create 2-3 detailed buyer personas based on findings
    • For each: demographics, goals, frustrations, current solutions, decision-making process
    • Identify the primary persona (highest value / most common)
  3. Map jobs-to-be-done:

    • Identify the functional, social, and emotional jobs the audience is hiring for
    • Map the "when" — what triggers the need
    • Document desired outcomes and success metrics from the audience's perspective
  4. Identify pain points and objections:

    • What frustrates them about current solutions?
    • What prevents them from switching or buying?
    • What questions do they ask before purchasing?
    • Mine forums, review sites, and social media for unfiltered language
  5. Map the buyer journey:

    • Document awareness → consideration → decision stages
    • Identify touchpoints and information needs at each stage
    • Note where they research, who influences them, and what content they consume

Read the full file on GitHub · 58 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 58 lines · 71 tokens per session scan A cdad7f4e2ef7

Subscribe to this mod's changes

customer-research is a skill published in the GitHub repository bromso/metapowers (2 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 746 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-21.